Capability Approach and Multidimensional Well-Being: The Italian Case of BES

This paper lies within the debate on GDP and beyond and provides an empirical assessment of the Italian equitable and sustainable well-being (BES) as a composite measure of multidimensional well-being. From a policy perspective, the goal is to deliver a reading of the Italian BES able to shed light on its usability. The aim is to offer a suitable method for making the information included in the BES more viable for policy design. To this end, the paper is grounded in an interpretation of the Italian BES through the lens of the capability approach and investigates the relations among BES indicators and life domains. The empirical assessment uses Italian data from the national survey “Aspects of daily life” and applies the Structural Equation Model to estimate several life capabilities and their causal path. Outcomes show the interrelated nature of multi-dimensional well-being and prove the role of exogenous causes in the determination of capabilities. Moreover, the paper provides a final ranking analysis where Italian regions are compared based on their position per capability and income performance. Results confirm, on one hand, the disparity of income and well-being measurements and the importance of multidimensional assessment for human development and, on the other, the importance of focusing on the single components of multidimensional well-being and their interconnections.     

Clustering of the Italian Regions Based on Their Equitable and Sustainable Well-Being Indicators: A Three-Way Approach

Social Indicators Research - The aim of this study is to provide an analysis of the Italian regions according to their equitable and sustainable well-being indicators pertaining to several...     

A Well-Being Indicator for the Italian Provinces

Social Indicators Research - In recent years, a significant number of papers has been published providing alternative measures of progress and well-being to Gross Domestic Product. Most of these...     

Welfare Policy and Subjective Well-Being Across Nations: An Individual-Level Assessment

In the vast and diverse literature on determinants of life-satisfaction and happiness, there is a relative dearth of empirical research on the role of specifically political factors. We identify one such possible factor, the industrial welfare state, and assess its impact on how individuals perceive their well-being. The voluminous literature on the welfare state highlights its position as one of the most profound chapters in the latter-day human experience, but focuses on its indirect effects on well-being through economic and social conditions. We contend that the welfare state exerts a more direct effect to the extent that individuals experience very real impacts on their quality of life. Considering individual responses in 18 industrial democracies from 1981 to 2000, we find that welfare state generosity exerts a positive and significant impact on life-satisfaction and happiness. We discuss implications for further research generated by these findings.

A Measure of Trust: The Italian Regional Divide in a Latent Class Approach

Social differences within countries may partly explain the lack of economic convergence and the persistence of regional disparities. The case of Italy is emblematic: economic gap between North and South remains at high levels with large differences in social capital and in trust. In this paper, we use the micro data from the ISTAT “Aspects of Daily Life” Survey to build a measure of “trust in others” and a measure of “trust in institutions” through a latent class model to attribute a trust score to the Italian households and the Italian regions and, in this way, to add elements of knowledge useful to policies. Our measures confirm a persistent territorial divide although the regional mapping appears more complex than the classical North–South partition. At last, a discussion on the household typology shows that the territorial gaps of trust persist even among households with similar socio-economic characteristics.     

Socio-demographic Components of Eudaimonic Well-Being: A Survey in an Italian Province

This work is part of a well-established strand of study about quality of life (QoL) and the different methodologies for its quantitative evaluation. The study focuses on a specific dimension of QoL, that of the eudaimonic well-being (EuWB), with two main objectives. On the one hand, we try to clarify how EuWB can be framed in the systematizations of QoL proposed in the literature. Its relation to the concept of subjective well-being is discussed, and the need to distinguish such approach from the so-called hedonic dimension of QoL is highlighted. On the other hand, the paper aims to investigate the link between the perception of EuWB and individual socio-demographic characteristics through a quantitative analysis based on the results of a survey. The survey carried out in Central Italy in 2010, involved a sample of 1,134 individuals, which are classified according to their perception of EuWB. An analysis of the socio-demographic characteristics within the EuWB groups is then performed in order to investigate the association between these variables and the perception of EuWB. Results are discussed with respect to the evidences from similar surveys found in the literature. The analysis confirms the influence of some variables on the perception of EuWB, yet it underlines the difficulty in comparing different studies on QoL without clarifying to which of the different declensions of this concept the survey methodology refers to.     

Housing Well-Being: Developing and Validating a Measure

Housing well-being refers to the home resident’s cumulative positive and negative affect associated with the purchase, preparation, ownership, use, and maintenance of the current home, and the selling of the previous home. Housing well-being is assumed to occur when the home is bought with the least amount of effort (purchase), the home is prepared for use to meet the needs of the new occupants (preparation), ownership signals status and enhances the home owner’s financial portfolio (ownership), the home serves the housing needs of the residents (use), the maintenance, renovation, and repair in the home are minimal, least costly, and effortless (maintenance), and the sale of the home is transacted with the least amount of effort and most financial gain (selling). Based on this conceptualization of housing well-being, we conducted an exploratory study to identify the sources of satisfaction related to the purchase, preparation, ownership, use, and maintenance of the current home, and the selling of the previous home. The exploratory study also helped us articulate a theoretical model describing the interrelationships among the housing well-being constructs and their consequence: the perceived quality-of-life (QOL) impact of the home. The exploratory study helped us also to develop survey measures, which in turn were validated through two additional studies involving surveys of home owners in the US and Korea.     

How Gratitude Influences Well-Being: A Structural Equation Modeling Approach

The main purpose of this study was to examine the relationships among gratitude, social support, coping style, and well-being. In total, 750 undergraduate participants completed four inventories measuring the variables of interest. Analyses of structural equation modeling found that gratitude had direct effects on undergraduates’ active coping styles, social support, and well-being. In addition, gratitude had indirect effects on undergraduates’ well-being via an active coping style and social support, and social support had direct effects on undergraduates’ active coping styles. These results support the proposed model of well-being and contribute to the understanding of how gratitude influences undergraduates’ well-being via interpersonal and cognitive variables.     

Away from Dissatisfaction,Closer to Well-Being: A Multidimensional Synthetic Measure

As part of the international debate on methods for measuring the social progress of a population, there has been increasing interest in individual subjective opinions about different aspects of quality of life (elementary indicators). In the literature, many methods have been introduced for producing measures of subjective well-being based on these opinions. Some of these methods aim to construct synthetic measures that allow us to consider all the aspects simultaneously. This topic often requires subjective methodological choices and/or distributional assumptions and, when the opinions are encoded by means of categorical ordinal values, the eventual quantification of the original variables. Here, starting from the Istat multipurpose survey on households’—aspects of daily life, we propose an original method for constructing a global satisfaction index. We introduce a variable based on the joint distribution of all the elementary indicators that is able to express the individual degree of global satisfaction. This approach allows us to maintain the original ordinal data scale and to avoid any aggregation formula. By comparing the observed distribution of the new variable and the theoretical one, which refers to the situation of overall dissatisfaction (all individuals are dissatisfied for every aspect), we propose three indices of global satisfaction. We also implemented two simulation studies that confirms both the efficacy and robustness of our method. We then applied it to measure the global satisfaction degree of the Italian population, using Istat multipurpose survey data for the year 2013.     

The Impact of the Earned Income Tax Credit on Economic Well-Being: A Comparison Across Household Types

Using survey data from Earned Income Tax Credit (EITC) recipients in Madison County, New York, we evaluate the effectiveness of the EITC in improving the economic well-being of low-income households. In particular, we examine the impact of the EITC across household types. For tax years 2002 through 2004, we find that the EITC is responsible for significantly lowering the poverty rate of EITC recipients, from 57 to 49%. In fact, for households below the poverty line, the EITC fills 31% of the gap between their adjusted gross income and the poverty line. The EITC has the largest impact on single parent households, lowering their poverty rate by 11.2 percentage points and reducing their poverty gap by almost 35%. However, the EITC has negligible effects on the poorest households in the sample—childless singles. A majority (64%) of EITC recipients intends to use at least some of the refund on basic needs and almost half plan on using part of their refund for debt repayment. This suggests that the EITC helps the majority of recipients get by but does not increase their economic mobility. Somewhat surprisingly, single parent households in the sample are not that different from married parent households in terms of EITC amounts, poverty rates, use of credit, and participation in government programs, despite earning less.     

Differences in Child Health Across Rural,Urban, and Slum Areas: Evidence From India

The developing world is rapidly urbanizing, but an understanding of how child health differs across urban and rural areas is lacking. We examine the association between area of residence and child health in India, focusing on composition and selection effects. Simple height-for-age averages show that rural Indian children have the poorest health and urban children have the best, with slum children in between. With wealth or observed health environment held constant, the urban height-for-age advantage disappears, and slum children fare significantly worse than their rural counterparts. Hence, differences in composition across areas mask a substantial negative association between living in slums and height-for-age. This association is more negative for girls than boys. Furthermore, a large number of girls are “missing” in slums; we argue that this implies that the negative association between living in slums and health is even stronger than our estimate. The missing girls also help explain why slum girls appear to have a substantially lower mortality than rural girls, whereas slum boys have a higher mortality risk than rural boys. We estimate that slum conditions (such as overcrowding and open sewers), which the survey does not adequately capture, are associated with 20 % to 37 % of slum children’s stunting risk.     

Assessing Well-Being Factors in a Growing Community: A Multi-Attribute Vignette Approach

Social Indicators Research - There is significant support for measurement and utilization of subjective well-being (SWB) as an input in the public policy process, and analyses of secondary data...     

Measuring and Monitoring Poverty and Well-Being: A New Approach for the Synthesis of Multidimensionality

The aim of this paper is to introduce a new approach for the synthesis and analysis of multidimensional poverty and well-being indicators. Our general perspective is inspired by the theoretical foundations of the capability approach and sustainable human development paradigm. The new synthesis of indicators aims at monitoring outcomes of units of interest. Its defining features include: full sensitiveness, continuity, flexibility in substitution between dimensions, and the straightforward interpretation of the results. All these properties are obtained through a transparent and accountable process that is fully open to public scrutiny and reason (as suggested by Amartya Sen). The main contribution of this approach is that the degree of substitutability between dimensions can be directly linked to the general level of well-being of a person, which addresses the so-called “inescapable arbitrariness” issue discussed by Anand and Sen (Concepts of human development and poverty: a multidimensional perspective. Human Development Papers. UNDP, New York, 1997). The new synthesis proposed opens up new possibilities for different types of applications, including monitoring and evaluating development programmes.     

Flourishing Across Europe: Application of a New Conceptual Framework for Defining Well-Being

Governments around the world are recognising the importance of measuring subjective well-being as an indicator of progress. But how should well-being be measured? A conceptual framework is offered which equates high well-being with positive mental health. Well-being is seen as lying at the opposite end of a spectrum to the common mental disorders (depression, anxiety). By examining internationally agreed criteria for depression and anxiety (DSM and ICD classifications), and defining the opposite of each symptom, we identify ten features of positive well-being. These combine feeling and functioning, i.e. hedonic and eudaimonic aspects of well-being: competence, emotional stability, engagement, meaning, optimism, positive emotion, positive relationships, resilience, self esteem, and vitality. An operational definition of flourishing is developed, based on psychometric analysis of indicators of these ten features, using data from a representative sample of 43,000 Europeans. Application of this definition to respondents from the 23 countries which participated in the European Social Survey (Round 3) reveals a four-fold difference in flourishing rate, from 41% in Denmark to less than 10% in Slovakia, Russia and Portugal. There are also striking differences in country profiles across the 10 features. These profiles offer fresh insight into cultural differences in well-being, and indicate which features may provide the most promising targets for policies to improve well-being. Comparison with a life satisfaction measure shows that valuable information would be lost if well-being was measured by life satisfaction. Taken together, our findings reinforce the need to measure subjective well-being as a multi-dimensional construct in future surveys.     

A Preliminary Examination of Covitality as Integrated Well-Being in College Students

The emergence of positive psychology has generated increased interest about the correlates of positive psychological functioning. Researchers have identified and studied various positive psychological constructs (e.g., hope, optimism, self-efficacy, gratitude, and life satisfaction) and found them to covary and to be positively associated with optimal human functioning and negatively associated with mental illness. This study of 528 college students examined the co-occurrence of selected positive psychological traits and explored their relations with a proposed second-order latent construct called covitality and with psychological well-being. Structural equation modeling examined each first-order positive psychology construct related to the second-order concept of covitality. Findings supported the second-order latent factor model of covitality, which was also significantly related to indicators of psychological well-being. Implications for theory development related to understanding positive human resources and applications within the context of college student populations are discussed.     

Beyond GDP: Using Equivalent Incomes to Measure Well-Being in Europe

It has become widely accepted that focusing exclusively on income growth may lead to a too narrow-sighted measure of changes in well-being. People care about other dimensions of life, such as their health, employment, social interactions and personal safety. Moreover, an exclusive focus on income growth remains blind to the distribution of income and well-being in the society. We propose therefore a set of five principles for a richer measure of well-being. In particular, we advocate the use of a measure based on “equivalent incomes”, which satisfies these principles. We discuss and illustrate how this equivalent income approach can be implemented in Europe, using the ESS data for 2008 and 2010. We find that introducing inequality aversion and including other dimensions in the analysis leads to a remarkably different perspective on the growth of well-being in Europe.     

Developing a Measure of Internet Well-Being: Nomological (Predictive) Validation

This paper reports on an effort to develop an Internet well-being measure for possible use by government agencies and industry associations that are directly involved with the promulgation of the Internet. Such measures can help officials gauge the social health of those Internet-related industries and institutional sectors, which in turn can guide the development of policies to enhance the quality-of-life impact of the Internet. The Internet well-being measure is based on the theoretical notion that the perception of the overall impact of the Internet on users of the Internet is determined by their perceptions of the impact of the Internet in their life domains such as consumer life, work life, leisure life, social life, community life, sensual life, among others. In turn, the perception of impact of the Internet in a given life domain (e.g., consumer life, work life) is determined by perceptions of benefits and costs of the Internet within that domain. We conducted a focus group to identify all the perceived benefits and costs within salient life domains of college students. We also conducted a thorough literature search to identify studies that examined the quality-of-life impact of the Internet in a variety of life domains. We then tested the nomological validity of the measure through two surveys at two major universities (one in the USA and the other in Korea). The statistical analysis allowed us to identify those measurement items that are most predictive, and therefore considered as nomologically valid. Policy implications of the study are discussed along with future research avenues.     

Childlessness and Psychological Well-Being in Midlife and Old Age: An Examination of Parental Status Effects Across a Range of Outcomes

The study explores and distinguishes links between parental status (childless persons, parents with residential children, and empty nest parents) and a range of psychological well-being outcomes in midlife and old age. Data are from the first wave of the Norwegian Life Course, Ageing and Generation (NorLAG) study (n = 5,189). We separate outcomes into cognitive (life satisfaction and self-esteem) and affective (positive and negative affect, depression, loneliness) components. Parental status has a net effect on cognitive well-being among women, as childless women report significantly lower life satisfaction and self-esteem than both mothers with residential children and empty nest mothers. However, motherhood is inconsequential for affective well-being. Among men, parental status is unrelated to any of the well-being aspects. Parental status effects are not modified by age, marital status, and education. The results demonstrate the importance of investigating the effect of parental status and other objective circumstances on a range of psychological well-being outcomes. Furthermore, the results reviewed and presented indicate somewhat more positive effects of parenthood in the Nordic countries than in the US, highlighting the role of social policies in shaping the impact of parental status on well-being.